Evidence map›Paper›PMID 35216557›Full record

ArticleBMC psychiatry2022

Characteristics of platelet-associated parameters and their predictive values in Chinese patients with affective disorders.

Yanyan Wei, Junhui Feng, Jinbao Ma, Dongning Chen, Haiting Xu, Lu Yin, Jingxu Chen

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
6.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  8. [Risk Prediction Performance of Blood Biomarkers for Bipolar Disorder With Psychotic Symptoms].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Article
  9. Evaluation of Pan-immune Inflammation Value and Systemic Immune Inflammation Index in Different Mood Episodes of Bipolar Disorder.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Yanyan WeiBeijing Hui-Long-Guan Hospital, Peking University, Beijing, 100096, China.
Junhui FengJining Psychiatric Hospital, Jidai Road 1#, Jining, 272000, Shandong, China.
Jinbao MaBeijing Tongren Hospital, Dongjiaomin Road 1#, Beijing, 100000, China.
Dongning ChenBeijing Tongren Hospital, Dongjiaomin Road 1#, Beijing, 100000, China.
Haiting XuBeijing Hui-Long-Guan Hospital, Peking University, Beijing, 100096, China.
Lu YinBeijing Hui-Long-Guan Hospital, Peking University, Beijing, 100096, China.
Jingxu ChenBeijing Hui-Long-Guan Hospital, Peking University, Beijing, 100096, China. chenjx1110@163.com.
Beijing HuiLongGuan Hospital · CNBeijing Tongren Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePlatelets are increasingly considered to play an important role in inflammation and are being regarded as a putative bridge linking mental diseases and inflammatory response. Platelet-associated haematological parameters including mean platelet volume (MPV), platelet distribution width (PDW), plateletcrit (PCT), systemic immune-inflammation index (SII), platelet to lymphocyte ratio (PLR), platelet to albumin ratio (PAR) and red blood cell distribution width (RDW) to platelet ratio (RPR), have been recently investigated as simple, easily available, and inexpensive inflammatory markers. In this study, we aimed is to use large-scale clinical data to study platelet parameters in patients with affective disorders, to further investigate the predictive power of platelet parameters for major depressive disorder (MDD) and bipolar disorder (BD).

methodsThe retrospective, naturalistic, cross-sectional study analysed the data of 14,007 Chinese affective disorder patients, including 4,801 patients with first-episode MDD, 4,098 patients with recurrent MDD, 3,444 patients with BD manic episodes and 1,664 patients with BD depressive episodes. Meanwhile, 6,847 healthy subjects were served as the control group. The differences in the MPV, PDW, PCT, SII, PLR, PAR, RPR and albumin among different groups were compared, and the contributing factors for the occurrence of MDD or BD were analysed.

resultsThere were significant differences in MPV, PDW, PCT, SII, PLR, RPR and albumin values among the study groups. In the subjects, patients experiencing BD manic episodes had the highest mean values of MPV and SII, patients experiencing BD depressive episodes had the lowest mean values of platelet counts and PAR, and patients with MDD had the highest mean values of PLR and RDW. The levels of MPV, PDW and albumin were independently correlated with MDD and BD, and they are important predictors for differentiating patients with MDD or BD from healthy controls.

conclusionsOur study demonstrated that different affective disorders have unique platelet parameter variation patterns, highlighting the role of platelet parameters and systemic inflammation in the pathophysiology of MDD and BD.

Indexed as

Major Depressive DisorderAlbuminsChinaCross-Sectional StudiesHumansInflammationManiaMood DisordersRetrospective StudiesAlbuminsBipolar disorderMajor depressive disorderMean platelet volumePlatelet-associated parametersSystemic immune-inflammation index

Identifiers

PMID35216557
PMCPMC8874305
OpenAlexW4214744136

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.